1. Afonso MP, Shimizu HE, Merchan-Hamann E, Ramalho WM, Afonso T. Association between hospitalisation for ambulatory care-sensitive conditions and primary health care physician specialisation: a cross-sectional ecological study in Curitiba (Brazil). BMJ open. 2017 Dec 1;7(12):e015322.

2. Pivovar A, Gonçalves Dos Santos ZF, Torres‐Pereira CC. Oral cancer screening for high‐risk individuals in the primary healthcare setting using an active approach. Journal of Oral Pathology & Medicine. 2017 Oct;46(9):786-91.

For more references, please contact the Curitiba Municipal Health Council.

1.  Ushida T, Yokoyama M, Shiosakai K, Saito K, Ibe S, Okuizumi K. A large-scale database study for the prescription status of a new voltage-gated Ca2+ channel α2δ ligand, mirogabalin, in Japan. Expert Opin Pharmacother. 2022;23(2):273-283.

2.  Maeda T, Hattori A, Yamamoto J, Tsunekawa K, Ibe S, Kinoshita F. Prescribing Patterns for Anti-Parkinsonian Drugs in Japan: Prescription-Based Database Study. Brain Nerve. 2021;73(3):273-281.

3. Mabuchi T, Hosomi K, Yokoyama S, Takada M. Polypharmacy in elderly patients in Japan: Analysis of Japanese real-world databases. J Clin Pharm Ther. 2020;45(5):991-996. 

4. Ushida T, Matsui D, Inoue T, Yokoyama M, Takatsuna H, Matsumoto T, Takita A, Kurusu T, Sakoda H, Okuizumi K. Recent prescription status of oral analgesics in Japan in real-world clinical settings: retrospective study using a large-scale prescription database. Expert Opin Pharmacother. 2019;20(16):2041-2052.

5. Takada M, Fujimoto M, Hosomi K. Association between Benzodiazepine Use and Dementia: Data Mining of Different Medical Databases. Int J Med Sci. 2016;13(11): 825–834.

6. Takada M, Fujimoto M, Yamazaki K, Takamoto M, Hosomi K. Association of statin use with sleep disturbances: data mining of a spontaneous reporting database and a prescription database. Drug Saf. 2014 Aug;37(8):653.

7. Tanaka I, Sato M, Sugihara T, Faries DE, Nojiri S, Graham-Clarke P, et al. Adherence and Persistence with Once-Daily Teriparatide in Japan: A Retrospective, Prescription Database, Cohort Study, J Osteoporos. 2013;2013:654218.

8. Sato D, Sato Y, Masuda S, Kimura H. Effects of a Sitagliptin Safety Alert on Prescription Behaviour for Oral Antihyperglycaemic Drugs: A Propensity Score-Matched Cohort Study of Prescription Receipt Data in Japan. DrugSaf. 2013;36(8):605-15.

9. Sato D, Sato Y, Masuda S, Kimura H. Impact of the sitagliptin alert on prescription of oral antihyperglycemic drugs in Japan. Int J Clin Pharm. 2012;34(6):917-24.

1. Sigurdardottir AS, Geirsdottir OG, Arnadottir IB, Ramel A. [Oral health problems in nursing homes, revision of oral health care delivery is needed]. Laeknabladid. 2022 Jul;108(7-08):338-345.

2. Sigurdardottir AS, Geirsdottir OG, Ramel A, Arnadottir IB. Cross-sectional study of oral health care service, oral health beliefs and oral health care education of caregivers in nursing homes. Geriatr Nurs. 2022 Jan-Feb;43:138-145.

3. Sigurdardottir AS. Geriatric oral health. Quality of life and oral care in Icelandic nursing homes [dissertation]. University of Iceland; 2022.

4. Gunnarsdottir TJ, Vilhjalmsson R, Hjaltadottir I. Use of complementary therapies in nursing homes: Descriptive study. Complement Ther Clin Pract. 2018 Aug;32:65-69.

5. Emilsdóttir AL, Gústafsdóttir M. End of life in an Icelandic nursing home: an ethnographic study. Int J Palliat Nurs. 2011 Aug;17(8):405-11.

7. Hjaltadóttir I, Hallberg IR, Ekwall AK, Nyberg P. Predicting mortality of residents at admission to nursing home: a longitudinal cohort study. BMC Health Serv Res. 2011 Apr 20;11:86.

6. Jónsson A, Bernhöft I, Bernhardsson K, Jónsson PV. [Retrospective analysis of health variables in a Reykjavík nursing home 1983-2002 (corrected)]. Laeknabladid. 2005 Feb;91(2):153-160.

8. Kjartansson H, Jonsson PV. [Psychotropic use in nursing and residential homes in the Greater Reykjavík area in 1996.]. Laeknabladid. 1999 Sep;85(9):681-90. Icelandic.

9. Ribbe MW, Ljunggren G, Steel K, Topinková E, Hawes C, Ikegami N, Henrard JC, Jónnson PV. Nursing homes in 10 nations: a comparison between countries and settings. Age Ageing. 1997 Sep;26 Suppl 2:3-12.

Note: There are some publications based on this register on waiting time for nursing homes but they are all in Icelandic.  For example -  https://www.landlaeknir.is/tolfraedi-og-rannsoknir/tolfraedi/heilbrigdisthjonusta/hjukrunar-og-dvalarrymi/

1. Hill H, Fotheringham J, Potts J, Solis-Trapala I, Lambie M, Damery S, Allen K, Wailoo A, Williams I, Davies S. The cost-effectiveness of initiating patients on home dialysis compared with in-centre haemodialysis. Appl Health Econ Health Policy. 2025;23(5):919-929.

2. Lindemann CH, Medcalf J, Hollinshead J, Nitsch D. The association between coding for chronic kidney disease and kidney replacement therapy incidence at CCG-level in England: an ecological study. BJGP Open. 2025;9(3):BJGPO.2024.0171.

3. Beresford M, Casula A, Pippias M, Griffin S, Hilton R, Greenhall G, Savino M, Steenkamp R, Nitsch D, Hole BD, Bailey PK. A registry-based retrospective study comparing pre-dialysis care and early outcomes in native vs transplant kidney failure. Clin Kidney J. 2025;18(6):sfaf158.

4. Tsuji T, Casula A, Tomlinson LA, Nitsch D, Hole BD. Acute kidney injury does not explain sex differences in kidney replacement therapy initiation or death amongst individuals with chronic kidney disease reported to the UK Renal Registry. Clin Kidney J. 2025;18(5):sfaf105.

5. Wong E, Steenkamp R, Nitsch D, Medcalf JF. Inequity of access to the UK kidney transplant waiting list. Nephrol Dial Transplant. 2025;40(4):827-830.

6. Plumb L, Savino M, Casula A, Sinha MD, Inward CD, Marks SD, Medcalf J, Nitsch D. Identifying acute kidney injury in children: comparing electronic alerts with health record data. BMC Nephrol. 2025;26(1):75.

7. Plumb L, Steenkamp R, Hamilton AJ, Maxwell H, Inward CD, Marks SD, Nitsch D. The spectrum of co-existing disease in children with established kidney failure using registry and linked electronic health record data. Pediatr Nephrol. 2024 Aug 8.

8. Aylward R, Casula A, Tiffin N, Ben-Shlomo Y, Rayner B, Birnie K, Caskey FJ. Consistency of alerts generated by, and implementation of, the NHS England acute kidney injury detection algorithm in English laboratories. J Nephrol. 2024 Aug 4.

9. Damery S, Lambie M, Williams I, Coyle D, Fotheringham J, Solis-Trapala I, Allen K, Potts J, Dikomitis L, Davies SJ. Centre variation in home dialysis uptake: a survey of kidney centre practice in relation to home dialysis organisation and delivery in England. Perit Dial Int. 2024;44(4):265-274.

10. Wong K, Pitcher D, Braddon F, Downward L, Steenkamp R, Masoud S, et al. Description and cross-sectional analyses of 25,880 adults and children in the UK National Registry of Rare Kidney Diseases cohort. Kidney Int Rep. 2024;9(7):2067-2083.

1. Machida T, Obara T, Miyazaki M, Inoue J, Mano N. Trends in drug prescriptions for type 2 diabetes, hypertension, and dyslipidemia among adults with non-alcoholic fatty liver disease. Ann Hepatol. 2022;27(4):100699.

2. Hozawa S, Maeda S, Kikuchi A, Koinuma M. Exploratory research on asthma exacerbation risk factors using the Japanese claims database and machine learning: a retrospective cohort study. J Asthma. 2022;59(7):1328-1337.

3. Maeda S, Kobayashi S, Takahashi K, Miyata S. Association of comorbidities and medications with risk of asthma exacerbation in pediatric patients: a retrospective study using Japanese claims data. Sci Rep. 2022;12(1):5509.

4. Yokoyama A, Okazaki H, Makita N, Fukui A, Piao Y, Arita Y, Itoh Y, Tashiro N. Regional differences in the incidence of asthma exacerbations in Japan: A heat map analysis of healthcare insurance claims data. Allergol Int. 2022;71(1):47-54.

5. Kubota K, Kelly T, Sato T, Pratt N, Roughead E, Yamaguchi T. A novel weighting method to remove bias from within-subject exposure dependency in case-crossover studies. BMC Med Res Methodol. 2021;21(1):214.

To get more information regarding publications, please visit https://www.rwebibliography.com/ or contact IQVIA.